Distributed Estimation in Wireless Sensor Networks with Imperfect Channel Estimation

摘要：

In this paper,we study distributed estimation with wireless sensor networks (WSN) when channel estimation is imperfect.A robust distributed maximum likelihood (ML) estimator of the unknown parameter is proposed,which improves the performance of the traditional ML estimator with imperfect channel estimation.By maximizing the effective signal to noise ratio (SNR) at the fusion center (FC),we find that the optimal length of the training sequence is the square root of the length of the quantized observation at each node.Simulations are provided to evaluate the performance of the robust method and to validate the theoretical optimal length.

作者: Mingxi Wang Chenyang Yang

作者单位: School of Electronics and Information Engineering,Beihang UniversityBeijing 100191,P.R.China School of Electronics and Information Engineering,Beihang University Beijing 100191,P.R.China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）